Claims

In Graphical Jogthrough, evaluators’ ratings yield a graph of estimated proportion of effective users versus the time needed to achieve effectiveness

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 1999 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? The Graphical Jogthrough method produces evidence as a graph presenting the estimated proportion of users who effectively use the interface against the time they had to work with it to succeed in effectiveness. → Stavros Demetriadis 1999

Evidence

Stavros Demetriadis 1999

Stavros Demetriadis, Athanasios Karoulis, Andreas Pombortsis. (1999). “Graphical” Jogthrough: expert based methodology for user interface evaluation, applied in the case of an educational simulation interface. Computers and Education. https://telearn.hal.science/hal-00197391

q2 · i? · design · r2

Definitional statement of the method’s output as described in the article: evaluators’ ratings are transformed into a graphed curve of “estimated proportion of users who effectively use the interface” versus time. No effect size is printed.

"Graphical Jogthrough is a further modification of a typical Jogthrough method, where evaluators' ratings produce evidence in the form of a graph, presenting estimated proportion of users who effectively use the interface versus the time they had to work with it in order to succeed effectiveness."

Discussion

Page metadata
Field Value
type claim
id graphical-jogthrough-graph-of-effective-users-over-time
title In Graphical Jogthrough, evaluators’ ratings yield a graph of estimated proportion of effective users versus the time needed to achieve effectiveness
description In Graphical Jogthrough, evaluators’ ratings yield a graph of estimated proportion of effective users versus the time needed to achieve effectiveness
status review
evidence_strength moderate
newest_evidence 1999
generated by process:wiki-ingest on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — stavros-demetriadis-1999

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